Higher order statistical approach to nonlinear stochastic optimal control problem

Jemin George, Puneet Singla

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents the formulation of an optimal control methodology for nonlinear stochastic systems, where the control objective is to obtain a feedback law that would minimize the higher order statistics associated with the traditional integral quadratic cost. The two part control scheme proposed here consist of approximating the probability density function associated with the nonlinear plant by the Gaussian sum approach and utilizing the existing deterministic optimal control schemes to obtain a feedback law that would minimize the higher order statistics that is of interest. Since both components are interdependent, an iterative scheme is required to obtain the optimal solution.

Original languageEnglish (US)
Title of host publicationAIAA Guidance, Navigation, and Control Conference and Exhibit
PublisherAmerican Institute of Aeronautics and Astronautics Inc.
ISBN (Print)9781563479786
DOIs
StatePublished - 2009

Publication series

NameAIAA Guidance, Navigation, and Control Conference and Exhibit

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Aerospace Engineering
  • Control and Systems Engineering

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